Minjie Xia

659 total citations
9 papers, 392 citations indexed

About

Minjie Xia is a scholar working on Artificial Intelligence, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Minjie Xia has authored 9 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Epidemiology and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Minjie Xia's work include Machine Learning in Healthcare (5 papers), Chronic Disease Management Strategies (2 papers) and Pancreatic and Hepatic Oncology Research (1 paper). Minjie Xia is often cited by papers focused on Machine Learning in Healthcare (5 papers), Chronic Disease Management Strategies (2 papers) and Pancreatic and Hepatic Oncology Research (1 paper). Minjie Xia collaborates with scholars based in China, United States and Germany. Minjie Xia's co-authors include Shiying Hao, Modi Liu, Xuefeng B. Ling, Doff B. McElhinney, Eric Widen, Karl G. Sylvester, Chengyin Ye, Frank Stearns, Bo Jin and Oliver Wang and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and Journal of Medical Internet Research.

In The Last Decade

Minjie Xia

9 papers receiving 383 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Minjie Xia China 7 123 84 83 79 57 9 392
Modi Liu China 6 119 1.0× 84 1.0× 83 1.0× 79 1.0× 57 1.0× 7 377
Frank Stearns United States 11 158 1.3× 117 1.4× 116 1.4× 148 1.9× 58 1.0× 14 579
Jennifer H. Garvin United States 14 177 1.4× 108 1.3× 73 0.9× 71 0.9× 28 0.5× 58 592
Le Zheng China 8 77 0.6× 48 0.6× 33 0.4× 74 0.9× 29 0.5× 12 291
Shaun T Alfreds United States 8 134 1.1× 101 1.2× 103 1.2× 117 1.5× 52 0.9× 12 455
Gina Barnes United States 13 129 1.0× 51 0.6× 44 0.5× 104 1.3× 78 1.4× 31 486
Oliver Wang United States 7 113 0.9× 73 0.9× 78 0.9× 60 0.8× 45 0.8× 13 363
Anthony Lin United States 7 99 0.8× 43 0.5× 38 0.5× 93 1.2× 82 1.4× 16 433
Min‐Jeoung Kang United States 11 92 0.7× 98 1.2× 23 0.3× 104 1.3× 35 0.6× 29 361
Irfan Ahmed United Kingdom 6 86 0.7× 34 0.4× 24 0.3× 34 0.4× 112 2.0× 16 366

Countries citing papers authored by Minjie Xia

Since Specialization
Citations

This map shows the geographic impact of Minjie Xia's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Minjie Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minjie Xia more than expected).

Fields of papers citing papers by Minjie Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Minjie Xia. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Minjie Xia. The network helps show where Minjie Xia may publish in the future.

Co-authorship network of co-authors of Minjie Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Minjie Xia. A scholar is included among the top collaborators of Minjie Xia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Minjie Xia. Minjie Xia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Gong, Xing, Fengxia Sun, Wei Li, et al.. (2024). Association of Ozone and Temperature with Ischemic Heart Disease Mortality Risk: Mediation and Interaction Analyses. Environmental Science & Technology. 58(46). 20378–20388. 10 indexed citations
2.
Duong, Son Q., Le Zheng, Minjie Xia, et al.. (2021). Identification of patients at risk of new onset heart failure: Utilizing a large statewide health information exchange to train and validate a risk prediction model. PLoS ONE. 16(12). e0260885–e0260885. 7 indexed citations
3.
Li, Xiaodong, Shiying Hao, Xuefeng B. Ling, et al.. (2020). A Deep-Learning Based Prediction of Pancreatic Adenocarcinoma with Electronic Health Records from the State of Maine. International journal of medical and health sciences. 14(11). 358–365. 4 indexed citations
4.
Ye, Chengyin, Jinmei Li, Shiying Hao, et al.. (2020). Identification of elders at higher risk for fall with statewide electronic health records and a machine learning algorithm. International Journal of Medical Informatics. 137. 104105–104105. 64 indexed citations
5.
Zheng, Le, Oliver Wang, Shiying Hao, et al.. (2020). Development of an early-warning system for high-risk patients for suicide attempt using deep learning and electronic health records. Translational Psychiatry. 10(1). 72–72. 58 indexed citations
6.
Zhang, Yan, Shiying Hao, Le Zheng, et al.. (2019). Prediction of the 1-Year Risk of Incident Lung Cancer: Prospective Study Using Electronic Health Records from the State of Maine. Journal of Medical Internet Research. 21(5). e13260–e13260. 35 indexed citations
7.
Ye, Chengyin, Oliver Wang, Modi Liu, et al.. (2019). A Real-Time Early Warning System for Monitoring Inpatient Mortality Risk: Prospective Study Using Electronic Medical Record Data. Journal of Medical Internet Research. 21(7). e13719–e13719. 38 indexed citations
8.
Ye, Chengyin, Tianyun Fu, Shiying Hao, et al.. (2018). Prediction of Incident Hypertension Within the Next Year: Prospective Study Using Statewide Electronic Health Records and Machine Learning. Journal of Medical Internet Research. 20(1). e22–e22. 171 indexed citations
9.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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